{"id":"W3049338889","doi":"10.1287/ijoc.2021.1094","title":"Stabilized Column Generation Via the Dynamic Separation of Aggregated Rows","year":2021,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; Université du Québec à Montréal","funders":"","keywords":"Column (typography); Row; Separation (statistics); Row and column spaces; Mathematics; Computer science; Statistics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001237747,0.0001225418,0.0001828088,0.0001227481,0.0003459692,0.0004737676,0.0004747259,0.00007109325,0.00001534345],"category_scores_gemma":[0.0001495505,0.0000878046,0.0001093283,0.0005518356,0.00003352433,0.000719987,0.0001335578,0.0003811872,0.00001224809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006045,"about_ca_system_score_gemma":0.0002604918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005002486,"about_ca_topic_score_gemma":0.00002157714,"domain_scores_codex":[0.9983645,0.0001594329,0.0006679743,0.0001570608,0.0004649016,0.0001861104],"domain_scores_gemma":[0.9981976,0.0001625447,0.0006348401,0.000367081,0.0005789573,0.00005898453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005359524,0.0003000041,0.000401342,0.00003446152,0.0001659609,0.00006397896,0.01238741,0.173626,0.1079303,0.04766523,0.003157439,0.6542143],"study_design_scores_gemma":[0.0003929985,0.0001518796,0.000637504,0.00005283473,0.000005136803,0.0002721841,0.00006263384,0.9437256,0.05076686,0.00196212,0.001842664,0.0001275665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2911412,0.000062306,0.7064877,0.0009582473,0.0002955429,0.0001133176,4.637071e-7,0.00008126967,0.0008599257],"genre_scores_gemma":[0.9652259,0.00002401727,0.03356804,0.001004508,0.00008340542,0.000001819358,0.000007166814,0.000007507833,0.00007763888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7700996,"threshold_uncertainty_score":0.4568552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013453801879428,"score_gpt":0.3011796249486511,"score_spread":0.2810450869298568,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}